Full-Time

Junior Engineer

Manufacturing Cost, Design-to-Value, and Producibility

Posted on 9/11/2026

Kearney

Kearney

5,001-10,000 employees

Global management consulting on strategy, transformation

Compensation Overview

$100k - $110k/yr

+ Discretionary performance bonus

No H1B Sponsorship

Chicago, IL, USA

In Person

US Citizenship, US Top Secret Clearance Required

Category
Consulting (1)
Required Skills
Welding
CAD
Supply Chain Management
Perl
Excel/Numbers/Sheets

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Requirements
  • U.S. citizenship and the ability to support International Traffic in Arms Regulations or restricted Aerospace and Defense work.
  • Have 0-2 years of experience in engineering, manufacturing engineering, cost engineering, supplier engineering, operations, product engineering, design engineering, systems engineering, producibility, design for manufacturing, design-to-value, or value engineering.
  • Bring experience from aerospace, defense, space, propulsion, naval, electronics, nuclear, automotive, industrial equipment, complex mechanical systems, advanced manufacturing, or similar sectors.
  • Possess a strong understanding of manufacturing processes including machining, casting, forging, welding, fabrication, composites, additive manufacturing, electronics assembly, final assembly, testing, tooling, inspection, and quality.
  • Read and interpret engineering drawings, geometric dimensioning and tolerancing, tolerance requirements, specifications, computer-aided design outputs, bills of material, manufacturing routings, materials, and supplier technical inputs.
  • Estimate cost from structured assumptions including materials, labor, cycle time, yields, scrap, tooling, overhead, quality requirements, and supplier economics.
  • Understand design and manufacturing tradeoffs involving tolerance, material selection, process selection, assembly complexity, qualification, reliability, scalability, and producibility.
  • Identify cost drivers, complexity drivers, manufacturability risks, supplier feasibility constraints, and production ramp challenges.
  • Use Excel-based cost models, structured assumptions, and quantitative problem solving.
  • Communicate technical findings clearly to engineering and business stakeholders.
  • Bring practical manufacturing experience, including plant, supplier, shop-floor, production engineering, manufacturing launch, supplier development, or production ramp experience.
  • Work comfortably with ambiguity, learn quickly, solve client-facing problems, and translate technical analysis into business impact.
Responsibilities
  • Develop should-cost models for complex components, assemblies, systems, and supplier quotes.
  • Assess manufacturing cost using drawings, specifications, bills of material, routing assumptions, labor content, cycle time, material usage, yield, tooling, quality requirements, overhead, and supplier economics.
  • Identify supplier cost drivers, manufacturing complexity, cost outliers, margin opportunities, and commercial negotiation levers.
  • Evaluate design choices for cost, manufacturability, producibility, scalability, qualification risk, and supplier feasibility.
  • Identify over-specification, avoidable complexity, tolerance-driven cost, material or process inefficiencies, assembly challenges, and production ramp risks.
  • Compare alternate manufacturing processes, product architectures, sourcing approaches, and make-versus-buy options.
  • Translate technical analysis into actionable recommendations for engineering, sourcing, supplier management, operations, and executive stakeholders.
  • Support client-facing problem solving in ambiguous environments through rapid hypothesis development, technical validation, and structured communication of findings.
  • Help codify reusable Center of Excellence tools, benchmarks, cost models, playbooks, and analytical methods.
Desired Qualifications
  • Prior experience in should-cost, design-to-cost, design-to-value, value engineering, design for manufacturing, producibility, supplier development, manufacturing launch, production ramp, sourcing support, or technical negotiations.
  • Exposure to complex, low-volume/high-complexity manufacturing environments.
  • Experience working with cross-functional teams across engineering, manufacturing, procurement, supply chain, finance, quality, and program management.
  • Familiarity with supplier quote analysis, cost breakdowns, request for quotation support, technical negotiation preparation, or teardown and benchmark analysis.

Kearney provides management consulting services to corporations, governments, and nonprofit organisations. It helps clients with strategy, operations, procurement, mergers and acquisitions, organisational transformation, sustainability, and digital analytics. By analyzing data and applying methods like AI and machine learning, Kearney supports data-driven decision-making and develops digital operating models. The firm assists with supply chain optimisation, cost reduction, growth strategies, and large-scale transformation programmes across industries such as consumer, retail, energy, healthcare, financial services, industrials, technology, media, and transportation, as well as the public sector. In sustainability and ESG work, Kearney helps organisations adapt to regulations and pursue sustainable practices. Since its founding in Chicago in 1926 as part of McKinsey’s early history, it evolved from A.T. Kearney to Kearney in 2020 through a management-led evolution.

Company Size

5,001-10,000

Company Stage

Acquired

Total Funding

$569M

Headquarters

Chicago, Illinois

Founded

1926

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Simplify Jobs

Simplify's Take

What believers are saying

  • ServiceNow partnership launched February 2026 expands Kearney's agentic-AI enterprise transformation work.
  • Beroe MAX debuted June 2026, targeting tariffs, supplier risk, and ESG decisions.
  • APAC leadership refreshes in January 2026 and Ramez Shehadi's May return strengthen execution.

What critics are saying

  • Accenture, Deloitte, and the Big Four bundle AI delivery with global implementation armies.
  • MAX and ServiceNow partnerships commoditize Kearney's advice, shrinking fees by 2027.
  • A failed AI pivot turns Kearney into a mid-tier staffing vendor within five years.

What makes Kearney unique

  • Kearney spans strategy, procurement, and implementation, unlike slide-deck-only rivals.
  • Its 2025 Project Partners and IMTEK acquisitions deepen SAP and supply-chain delivery.
  • MAX with Beroe fuses proprietary consulting methods with 30 million live market signals.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Company Match

Paid Vacation

Paid Sick Leave

Unlimited Paid Time Off

Hybrid Work Options

Home Office Stipend

Gym Membership

Wellness Program

Growth & Insights and Company News

Headcount

6 month growth

-3%

1 year growth

0%

2 year growth

0%
PR Newswire
Jun 3rd, 2026
Beroe and Kearney launch MAX, AI decision engine connecting procurement data to execution

Beroe and Kearney have launched MAX, an AI-native decision engine for procurement, at DPW NYC. The platform connects intelligence and execution systems, continuously surfacing margin opportunities whilst optimising risk and ESG compliance. MAX addresses procurement's expanding mandate by providing real-time recommendations when market conditions shift, such as tariff changes or commodity price spikes. Built on a neurosymbolic framework, it combines Beroe's 30 million live market signals with Kearney's proprietary methodology and applies them against a company's own spend data. The product was developed with a Strategic Advisory Council of 13 global procurement organisations. It enables category managers to monitor every supplier and category continuously, rather than focusing selectively on the top 20% of spend. MAX will be available to select customers over the coming months.

Umbrex
Apr 29th, 2026
Profile of Kearney

Access a detailed profile of Kearney consulting firm: history, key figures, innovations, global presence, financials, and peer comparison.

PR Newswire
Feb 11th, 2026
Kearney partners with ServiceNow to deploy agentic AI for enterprise transformation

Kearney, a global management consulting firm, has partnered with ServiceNow to help organisations implement agentic AI at enterprise scale. The collaboration combines Kearney's strategic consulting expertise with ServiceNow's AI Platform to accelerate digital transformation and operational efficiency. The partnership focuses on three areas: operational excellence through faster exception handling, workflow optimisation with improved process velocity, and end-to-end impact via AI-enabled process orchestration. Kearney's approach, called BPR.ai, reimagines entire business processes rather than simply automating individual tasks. In a recent client engagement, the methodology helped transform an IT organisation into an AI-first operations model, achieving over 30% annual cost reduction whilst accelerating deployment of agentic AI across IT services. The offering targets sales, operations and service functions across organisations.

PR Newswire
Feb 27th, 2025
Kearney Acquires IMTEK for Supply Chain Boost

Kearney has acquired IMTEK Inc., a consulting and systems integration firm specializing in supply chain planning and execution. This acquisition enhances Kearney's capabilities in supply chain transformations by leveraging IMTEK's expertise with platforms like Kinaxis. The move aligns with Kearney's strategy to use inorganic growth to better serve clients, offering comprehensive planning solutions from strategy development to technology implementation.

PR Newswire
Jan 14th, 2025
Kearney Acquires Project Partners for SAP Transformation

Kearney has acquired Project Partners Management GmbH to enhance its SAP transformation capabilities, particularly in SAP S4/HANA. This acquisition strengthens Kearney's ability to support clients throughout their SAP transformation journeys. The move aligns with Kearney's strategy of using acquisitions to boost growth and service offerings. Project Partners will complement Kearney's expertise, enabling comprehensive support for clients leveraging SAP and AI.